We have developed a new shopping model that integrates modern sensing technologies. A combined technology acceptance model and theory of planned behavior (C-TAM-TPB) model was also employed to examine the acceptance of this mobile service among seniors. As the sensing technology, we proposed a radio frequency identification (RFID) sensing technology based on the Internet of Things (IoT) to construct a platform for a mobile shopping service. In addition, a merchandise search, shopping guide, advertising, and mobile payment were also equipped as elements within the system. The acceptance of a mobile service by seniors may depend on whether its interface is easy to learn and whether its functions are easily understandable. These are key factors affecting seniors’ attitude toward the mobile service. The results of our study indicate that seniors’ perceptions of the mobile service (perceived usefulness and ease of use of RFID sensing) positively affect their attitude toward using the mobile service, which will further affect their purchase intention. The results also offer an insight into the needs of seniors and highlight some social issues about elderly care.